Fraunhofe Institute for Software and Systems engineering ISST

Industrial Information management
TU Dortmund IIM
German Economic Institut IW

Fraunhofer Institute for Industrial engineering IAO
LEIBNIZ centre for European Economic research ZEW

News


Why data sharing pays off!

The new IEDS video explains why it’s worth participating in data sharing, how you can safely participate in data rooms, and how IEDS can help you do it!

Chair of Industrial Information Management publishes
scientific paper on toolbox for Data Sharing!

The Chais of Industrial Information Management at the Technical University of Dortmund has published a scientific paper entitled “Designing Data Sharing Tool Kit” as port of the IEDS project! The Work proposes a tool kit with three visual inquiry tools to provide a collaborative way to discover potentials of data sharing. The work contributes to research and practice by providing three visual inquiry tools to help different stakeholders or organizations an an ecosystem visualize and design their data sharing activities!

Chair of Industrial Information Management publishes paper on Data-driven Business Models in Data Ecosystems

The Chais of Industrial Management at the technical University of Dortmund has published a scientific paper entitled “Design Options for Data-Driven Business Models in Data-Ecosystems” as part of the IEDS project. The work provides an overview of data-driven business models on data ecosystems with the help of a taxonomy. Through the work, organizations gain a better understanding of opportunities for innovative business models related to data sharing. It helps users and researchers better leverage the specifics of data-driven business models.

The IEDS-Whitepaper is now available in English!

The IEDS Whitepaper is the first major publication of all consortium partners together! In this whitepaper you can find our very first research results as well as an outlook on further research! The Whitepaper freely available and can be downloaded here.

German Economic Institute publishes report on the Data Act!

As part of the IEDS project, the Institut der deutschen Wirtschaft has published a report on the Data Act. The Data Act is intended to regulate access to and use of data in the European Union in the future. It around specifications for the access of usually entrepreneurial users to data, rules for data access and much more.

German Economic Institut publishes study “Data Management of Companies in Germany”!

The German Economic Institute has conducted a study to discuss the data management capabilities of German companies. To this end, a survey was conducted in the fall of 2021 among German companies from the industrial and industry-related service provider sectors. The analysis showed that 71 percent of companies in Germany do not meet the requirements to be able to manage their data efficiently. These and many other results, including on the topic of data sharing, can be found in the new study!

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The Fraunhofer Report on Data Assessment is here!


As part of the IEDS project, the Fraunhofer Report on Data Assessment was published. The report presents various methods that organizations can use to efficiently evaluate their existing data in order to achieve optimal data-driven value creation! The report is written in German and freely available.

The IW Report “Einführung in Gaia-X” is here!


To leverage the benefits of the data economy while granting companies sovereignty over their data, the Gaia-X project was launched. This report describes the goals and setup of Gaia-X. It also examines what is needed for the project to succeed and how consumers will benefit.

IEDS is now on LinkedIn

You can now find Information on current events, studies and publications on our social media channels! 

Incentives and Economics of Data Sharing – IEDS

Project description

Ongoing digitization is transforming the economy and society at an ever faster pace. The proliferation of digital technologies and artificial intelligence is generating an immense flood of data that is disruptively changing today’s business models and turning data into a strategic resource. In addition to the shift from tangible to “smart” products and from controlling the physical value chain to controlling the data value chain, there is the fundamental shift in the digitized economy where innovation increasingly takes place in ecosystems. A data ecosystem is characterized by multiple relationships in a network of multiple actors such as organizations, companies, individuals, or technical components such as machines or software. Ecosystem actors share data across organizations in pursuit of common goals and values. The GAIA-X initiative is currently shaping a data infrastructure at the European level. It is intended to guarantee the sovereignty and trustworthiness of the participants in a data ecosystem for the interorganizational exchange of data. However, the right incentives and foundations for data exchange must also be in place in sovereign and secure data ecosystems. To this end, the project “Incentives and Economics of Data Sharing – IEDS”, funded by the German Federal Ministry of Education and Research, was launched.


Publications

The IEDS whitepaper “Incentive schemes and economics of data sharing” is out!

IEDS Whitepaper

The IEDS whitepaper is the first major publication of all consortium partners together! In this paper you will find the first results of the IEDS project as well as outlooks into further research around the topics of data sharing and data economy.


DataOps for Data Sharing

Our report shows how efficient and agile data management can be used to successfully participate in data sharing. In doing so, the DataOps practice shows ways to build standardized and automated data pipelines to make data provisioning faster and of higher quality!


Designing a Data Sharing Tool Kit

The work proposes a tool kit with three visual inquiry tools to provide a collaborative way to discover potentials of data sharing. The work contributes to research and practice by providing three visual inquiry tools to help different stakeholders or organizations an an ecosystem visualize and design their data sharing activities.

Design Options for Data-Driven Business Models in Data-Ecosystems

The work provides an overview of data-driven business models on data ecosystems with the help of a taxonomy. Through the work, organizations gain a better understanding of opportunities for innovative business models related to data sharing. It helps users and researchers better leverage the specifics of data-driven business models.

DataOps for Data Sharing

To leverage the benefits of the data economy while granting companies sovereignty over their data, the Gaia-X project was launched. This report describes the goals and setup of Gaia-X. It also examines what is needed for the project to succeed and how consumers will benefit.


Data evaluation report

The evaluation of data can bring decisive advantages for companies in the areas of accounting, competition and data sharing. If you want to improve your value creation through data, you need to measure the impact of data on processes and their costs in order to make the associated management decisions!

Big Data Analytics and Productivity

Digitization in companies is leading to a significant increase in data volumes. The analysis and use of Big Data enables companies to use data as a strategic resource to create value. In our new publication, we examine the impact of Big Data analyses on productivity using empirical data!

The licensing of non-personal data

With digitization and the networking of services, products, customers and markets, data is becoming a key resource. From a legal perspective, therefore, access to data and the contractual possibility of granting it are increasingly coming to the fore.

Data management in German companies

In this study by the Institut der deutschen Wirtschaft (Institute of the German Economy), a survey was conducted among 1002 German companies from the industrial and industry-related service provider sectors. The study provides information on data economy readiness, data sharing, its barriers and much more.

Data Act Report

As part of the IEDS project, the German Economic Institute has published a report on the Data Act. The Data Act is intended to regulate access to and use of data in the European Union in the future. It around specifications for the access of usually entrepreneurial users to data, rules for data access and more.


Goals of the IEDS-Projekts


The aim of the project “Incentives and Economics of Data Sharing – IEDS” is to investigate the design of incentive systems for data sharing in an entrepreneurial context through interdisciplinary collaborative research. For this purpose, the topic of data sharing will be analyzed from different perspectives, such as technical and economic. Specifically, insights will be gained and mechanisms developed on how to incentivize organizations to participate in open and collaborative data networks.

Innovations are increasingly taking place in collaborative networks. However, various challenges arise in the emergence of data-based networks. In addition to solutions to legal and security challenges related to cross-company data exchange, approaches are also needed to create incentives for the various players to participate in these networks. Such incentives are necessary to do justice to the strategic importance of data for Germany and Europe and to enable companies to successfully participate in relevant initiatives, such as GAIA-X.

The project will identify requirements for holistic data strategies as well as data management that set the stage for companies to participate in interorganizational data exchange.

Our report shows how efficient and agile data management can be used to successfully participate in data sharing. In doing so, the DataOps practice shows ways to build standardized and automated data pipelines to make data provisioning faster and of higher quality!

Data-driven business models are business models that generate value significantly through data and accordingly require it as a central resource. The business model logic is to be used as an examination lens to analyze which value creation models promote and demand the interorganizational exchange of data.

The project additionally focuses on the survey of the status quo of the civil law regulatory framework, the sharing of data, especially with regard to the economic exploitation as well as incentive-related aspects.

The economic importance of data as well as the combinatorial value of different data points are further objects of investigation in the project. Successful approaches and process models will be developed to set the right incentive mechanisms in the ecosystem.

The evaluation of data can bring decisive advantages for companies in the areas of accounting, competition and data sharing. If you want to improve your value creation through data, you need to measure the impact of data on processes and their costs in order to make the associated management decisions!

Funding Details

Project start: 01. Mai 2021

Runtime: 36 Months

Funding: Federal Ministry of Education and Research 

Funding code: IEDS0001

Funding volume: ca. 5,0 Mio. €


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Your contact persons

Dr. Can Azkan

Fraunhofer Institute for Software and Systems Engineering ISST

(Project management)

Emil-Figge Straße 91
44227 Dortmund
+49 231 976770

Dr. Frederik Möller

TU Dortmund – Industrial Information Management IIM

Joseph-von-Fraunhofer-Str. 2-4
44227 Dortmund
+49 231 755 8313

Dr. Henry Goecke

German Economic Institute

Konrad-Adenauer-Ufer 21
50668 Köln
+49 221 4981770

Prof. Dr. Irene Bertschek

ZEW – Leibniz Centre for European Economic Research

L 7, 1
68161 Mannheim
+49 621 1235178

Dr. Holger Kett

Fraunhofer Institute fe for Industrial Engineering IAO

Nobelstraße 12
70569 Stuttgart
+49 711 97001